| Esrgan: Enhanced super-resolution generative adversarial networks X Wang, K Yu, S Wu, J Gu, Y Liu, C Dong, Y Qiao, C Change Loy Proceedings of the European conference on computer vision (ECCV) workshops, 0-0, 2018 | 5122 | 2018 |
| Ranksrgan: Generative adversarial networks with ranker for image super-resolution W Zhang, Y Liu, C Dong, Y Qiao International Conference on Computer Vision (ICCV), 3096-3105, 2019 | 436 | 2019 |
| FD-GAN: Generative adversarial networks with fusion-discriminator for single image dehazing Y Dong*, Y Liu*, H Zhang, S Chen, Y Qiao Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) 34 (07 …, 2020 | 283 | 2020 |
| Learn to match: Automatic matching network design for visual tracking Z Zhang, Y Liu, X Wang, B Li, W Hu International Conference on Computer Vision (ICCV), 13339-13348, 2021 | 225 | 2021 |
| Blind image super-resolution: A survey and beyond A Liu, Y Liu, J Gu, Y Qiao, C Dong IEEE transactions on pattern analysis and machine intelligence 45 (5), 5461-5480, 2022 | 197 | 2022 |
| Conditional Sequential Modulation for Efficient Global Image Retouching J He*, Y Liu*, Y Qiao, C Dong European Conference on Computer Vision (ECCV), 679-695, 2020 | 133 | 2020 |
| HDRUnet: Single image hdr reconstruction with denoising and dequantization X Chen, Y Liu, Z Zhang, Y Qiao, C Dong IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR …, 2021 | 101 | 2021 |
| Enhanced quadratic video interpolation Y Liu*, L Xie*, L Siyao, W Sun, Y Qiao, C Dong European Conference on Computer Vision (ECCV) Workshops, 41-56, 2020 | 98 | 2020 |
| NTIRE 2021 challenge on high dynamic range imaging: Dataset, methods and results E Pérez-Pellitero, S Catley-Chandar, A Leonardis, R Timofte IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR …, 2021 | 83 | 2021 |
| Masked image training for generalizable deep image denoising H Chen, J Gu, Y Liu, SA Magid, C Dong, Q Wang, H Pfister, L Zhu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 72 | 2023 |
| Temporally consistent video colorization with deep feature propagation and self-regularization learning Y Liu*, H Zhao*, KCK Chan, X Wang, CC Loy, Y Qiao, C Dong Computational Visual Media 10 (2), 375-395, 2024 | 44 | 2024 |
| RankSRGAN: Super Resolution Generative Adversarial Networks with Learning to Rank W Zhang, Y Liu, C Dong, Y Qiao IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 | 41 | 2021 |
| UDC 2020 challenge on image restoration of under-display camera: Methods and results Y Zhou, M Kwan, K Tolentino, N Emerton, S Lim, T Large, L Fu, Z Pan, ... European Conference on Computer Vision (ECCV) Workshops, 337-351, 2020 | 40 | 2020 |
| Discovering" Semantics" in Super-Resolution Networks Y Liu*, A Liu*, J Gu, Z Zhang, W Wu, Y Qiao, C Dong arXiv preprint arXiv:2108.00406, 2021 | 34 | 2021 |
| A Closer Look at Blind Super-Resolution: Degradation Models, Baselines, and Performance Upper Bounds W Zhang, G Shi, Y Liu, C Dong, XM Wu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 33 | 2022 |
| Very lightweight photo retouching network with conditional sequential modulation Y Liu*, J He*, X Chen, Z Zhang, H Zhao, C Dong, Y Qiao IEEE Transactions on Multimedia, 2022 | 29 | 2022 |
| Evaluating the generalization ability of super-resolution networks Y Liu, H Zhao, J Gu, Y Qiao, C Dong IEEE Transactions on pattern analysis and machine intelligence, 2023 | 27 | 2023 |
| Degae: A new pretraining paradigm for low-level vision Y Liu, J He, J Gu, X Kong, Y Qiao, C Dong Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 24 | 2023 |
| Residual and Dense UNet for Under-Display Camera Restoration Q Yang*, Y Liu*, J Tang, T Ku European Conference on Computer Vision (ECCV) Workshops, 398-408, 2020 | 23 | 2020 |
| Color2Embed: Fast Exemplar-Based Image Colorization using Color Embeddings H Zhao, W Wu, Y Liu, D He arXiv preprint arXiv:2106.08017, 2021 | 22* | 2021 |
Chao DongShenzhen Institutes of Advanced Technology, Chinese Academy of SciencesE-mailová adresa ověřena na: siat.ac.cn
